Technology Tangents: Conversations for Leaders in Tech: Recent Episodes
Technology Tangents
In Credera's "Technology Tangents: Conversations for Leaders in Tech", Credera's Chief Technology Officer and Chief Data Officer bring technology leaders together to discuss the new technologies of today and how organizations should navigate the implications for tomorrow. The discussions are fun, lighthearted, and frankly opinionated, but hopefully it gives technology leaders a sense of what matters, what to pay attention to, and what to ignore.
Together, Jason and Vincent bring 40+ years of technology leadership at companies like American Airlines, Uber, Zillow, and more.
Enterprises are racing to bring AI into their workflows, but most efforts stall in the pilot stage or get lost in measurement debates. In this episode of Pure Signal, hear what it really takes for organizations to move from experimentation to impact.
Today’s conversation brings together Kevin Erickson, Jake Carter, and Ryan Medellin as they explore how AI is reshaping productivity, why traditional planning cycles are under pressure, and what leaders must do differently to unlock sustainable value. Is faster velocity the real win, or is it a distraction? And how should executives measure progress when the benchmarks themselves are shifting?
From the rise of tiger teams and distributed adoption to the importance of data readiness and new talent skills, the discussion surfaces the levers that actually drive enterprise change. You’ll hear why use cases matter more than proofs of concept, how AI is altering the role of annual planning, and what emerging professionals should focus on to thrive in an AI-native workplace.
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Quotes
"You need a number of different elements if you're going to get a company to actually change how they're working with AI. One we already alluded to is the field-level workers who are changing the way they're working already. You’ve got to get the tools in the hands of your people.” – Jake Carter
"Cloud computing increased velocity by 4x. You could do more, but you still just took that extra 4x and put it into more backlog. I don’t know if that plays out the same way in AI, because I think it’s going to require departments thinking together or projects getting done differently” – Kevin Erickson
“When AI started becoming a thing, it was almost like you were hiding at first that maybe you were using AI to help velocity because you weren't sure how it would be received from up or below. Now, it seems like it’s almost an opportunity to display what you're doing to help make you more efficient.” – Ryan Medellin
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Time Stamps
00:00 Intro
01:00 Where is the future of work going to be?
07:45 Adapting your workforce to AI
13:00 Work smarter, not harder
18:55 What it really takes to change at scale
25:00 Where this technology impacts the next generation
27:10 New business expectations
32:00 Advice for supercharging the emerging workforce
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Links
Connect with the hosts on LinkedIn!
- Kevin Erickson
- Jake Carter
- Ryan Medellin
Learn more about Credera
AI failures are making headlines with a widely circulated MIT study claiming that 95% of GenAI deployments are falling short of expectations. In this episode of Pure Signal, the team breaks down what’s really behind that number and what it means for enterprise leaders navigating AI adoption.
Joining today as new hosts are Jake Carter, Partner and Global Chief Innovation Officer, and Ryan Medellin, a manager in Credera’s Digital Strategy and Delivery practice. Alongside Jason Goth and Kevin Erickson, they dissect the MIT report’s claims and offer a more grounded view from inside the trenches. Why are internal AI efforts failing at twice the rate of external ones? Why do flashy AI projects often disappoint while quiet back-office initiatives deliver real ROI? And most importantly, what should executives be doing differently to lead with strategy, not panic?
From integrating AI into existing workflows to the growing role of shadow IT, the conversation explores how companies can increase the success rate of AI efforts without chasing the hype. You’ll hear what separates failed pilots from scalable wins, why the most valuable use cases are often invisible, and how to turn AI experimentation into enterprise impact.
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Quotes
"If you know that all of your employees are already using AI, whether they're admitting it or not, figure out what they're using it for. And that'll help you find the use cases that are worth building on. Because AI is already transforming business, it's just not happening through the official channels. It's happening on the side of people's desks." – Jake Carter
"Probably 95% of dot-com companies failed too. But that doesn't mean the internet is not a thing, right? Companies are going to have to continue to push and invest. Individuals are going to continue to do that." – Kevin Erickson
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Time Stamps
00:00 Intro
00:50 Updates to Pure Signal
04:30 Are GenAI efforts failing?
13:00 Every new technology needs iteration
19:50 Where to start as an executive
26:55 Lessons from both the successes and failures
32:30 Make the most of internal AI adoption
37:20 The perception of enterprise solutions
41:15 Wrapping up
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Links
Connect with the hosts on LinkedIn!
- Kevin Erickson
- Vincent Yates
- Jake Carter
- Ryan Medellin
Learn more about Credera
AI isn’t just transforming technology, it’s reshaping the very definition of talent. This episode of Pure Signal examines why organizations need to change their hiring scope to focus on skills like adaptability, curiosity, and a real eagerness to embrace new technologies as AI adoption continues across today’s workforce.
As companies struggle to accelerate AI adoption, a new reality is emerging: technology alone won’t drive transformation. Leaders are realizing that success depends on people who can learn quickly, embrace change, and rethink how work gets done. From mid-market disruptors to global enterprises, the pressure is on to identify and develop teams built for continuous reinvention.
Join Vincent and Kevin as they explore what defines AI-ready talent, how leaders can nurture curiosity and resilience across their organizations, and why the ability to adapt is now a competitive advantage. Their conversation offers a candid look at the human side of AI transformation, and the stakes for companies that fail to evolve their workforce as fast as their tech.
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Quotes
“Everything goes back to simplistic elements and traits. Who's going to be successful in that model where you have to learn? Well, it's someone who has a learning mindset, a growth mindset. Someone who is curious, someone who's got the discipline to figure it out. Someone who's got the perseverance to work through things. Someone who gets excited about doing it in a different way." – Kevin Erickson
“In these moments, I think we're going to see the mid-market companies get a lot more aggressive. They have the agility, they have the conviction. Oftentimes they're still sort of founder-led or privately owned in some cases, and that gives them more flexibility. They want real growth." – Vincent Yates
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Time Stamps
00:00 Intro
00:30 Why AI adoption is uneven across organizations
03:00 Getting past the first hurdle
06:00 Carrots vs. sticks
10:00 Moving from faster work to better work
13:00 Redefining value when AI levels the field
17:00 Why mid-market companies have the advantage
23:00 Lessons from past tech transformations
28:00 Hiring for adaptability
36:00 Curiosity, resilience, and change as competitive advantage
42:00 Leading through change without burning out teams
46:30 Closing thoughts
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Links
Connect with the hosts on LinkedIn!
- Vincent Yates
- Kevin Erickson
- Jason Goth
Learn more about Credera
AI projects are falling short across the tech industry and executives are losing their jobs because of it. This episode of Pure Signal explores the reasons behind boards’ new pressures, what CIOs and CEOs can do to right the ship, and how it is possible to balance speed with strategy in regards to AI.
From the early days of AI adoption well through to today, workers everywhere have been worried about if their jobs will be replaced by their computer counterparts. And recently people have been losing their jobs..but not because they’re being replaced. High-profile CIO and CEO departures have been making headlines because they’ve been going too slow in their organization’s AI efforts.
Join Vincent, Jason, and Kevin, as they unpack the rising tension in the C-suite as AI adoption becomes a board-level priority. With only 25% of enterprise AI projects delivering on ROI, companies are reckoning with years of tech debt, siloed systems, and a shortage of generative AI-ready talent. Their conversation dives into how to lead AI transformation from the top without sacrificing security, regulatory standards, or execution speed.
From risk-tolerant innovation and agile delivery to the debate over if titles such as “Chief AI Officer” even mean anything tangible, this episode lays out what forward-leaning organizations are actually doing to win, and why most of them aren’t talking about it publicly.
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Quotes
"We're asking CIOs to solve all of the tech debt for the past 10 years that organizations haven't invested in or paid for and then on top of that, deliver net new outcomes with AI. That's a really difficult spot. CEOs basically want miracles, and they want them now.”
– Vincent Yates
"Boards want to see bold action. If you're a little sloppy but you're showing demonstrated value in terms of velocity and acceleration, people will likely forgive that. But if you're too cautious and get fired for moving too slow, that’s a much harder story to recover from. Right now, this is a moment for action, not preservation."
– Kevin Erickson
"This idea that you have to choose between innovation and security is completely false. If you design things well and use AI and other automation tools, you can actually be more secure while moving faster. The tools can test for vulnerabilities, generate more secure code, and incorporate best practices by default. You get better outcomes at greater speed."
– Jason Goth
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Time Stamps
00:00 Intro
00:25 Holding executives accountable for slow AI adoption
02:35 Overcorrection? Or justified response?
09:55 Roles are shifting across organizations
13:40 Think slow but act fast
20:35 Lean on specific, measureable pursuits
25:25 Security is no longer a good excuse
29:35 It's okay to break things
38:00 Is it as easy as adding a new title to your executive team?
46:35 Empower your existing teams to orient around action
50:50 Recent AI wins to learn from
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Links
Connect with the hosts on LinkedIn!
- Vincent Yates
- Jason Goth
- Kevin Erickson
Learn more about Credera
GenAI capabilities are in a state of constant acceleration, but without true memory, it also is starting from scratch with each use. In this episode of Pure Signal, you’ll hear why context is the next critical unlock in AI and what it means for both businesses trying to stay ahead and consumers craving personalization.
Opening up with a breakdown of how current models are operating, Vincent, Kevin, and Jason weigh how these platforms will need to evolve in order to be fully customized at the user level in a safe and scalable way. They argue that while the most obvious benefit exists on the consumer side with increased user loyalty, executives and businesses would also be able to leverage this unlock to streamline many of their operations.
Is it technically feasible to carry context from app to app? Will vendors allow it, or fight to own it? And what are the strategic risks of letting someone else control your AI memory layer?
Whether you’re designing new products, leading AI integration, or shaping data architecture, this episode offers a timely look at what it takes to build differentiated experiences in a world of commoditized intelligence.
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Quotes
"What’s fascinating is that we’re revisiting the same challenges we’ve seen throughout 200 years of computing. General vs. Special Purpose. Memory vs. No Memory. It’s always been the same problem. AI today looks like early mainframes or punch cards in some ways. We’re going to need another evolution to figure out how memory and personalization really work.” – Kevin Erickson
"The way we've designed systems for the last 20 years is to be stateless. The AI models are no different. You either put memory into the model, which is basically not scalable—or you provide it as input every time. That’s why durable, long-term memory is such a hard architecture problem to solve." – Jason Goth
"We're going to move from a world where your data travels with you. That's the game-changer. I shouldn't have to reintroduce myself to every system I use. The intelligence isn't just in the model, it's in what it remembers about me and how seamlessly it can apply that context." – Vincent Yates
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Time Stamps
00:00 Intro
01:00 The value of being remembered
05:35 Will AI models be sought out for stored context?
14:05 Can each platform be fully customized per user?
19:30 Solving future problems with current technology
25:25 Increasing loyalty with added context
30:10 Where will customers see the impact
36:35 Are potential risks worth worrying over?
43:20 It all comes back to differentiation
47:40 Wrapping up
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Links
Connect with the hosts on LinkedIn!
- Vincent Yates
- Jason Goth
- Kevin Erickson
Learn more about Credera
M&A processes are more efficient than ever before with AI streamlining complicated processes and offering in depth research at will. Today on Pure Signal, you’ll hear what this might mean for the future of services business, consulting firms, and even government systems.
The conversation kicks off with Vincent, Kevin, and Jason covering traditional rollup models from a pre-AI world. With original investment theses centered primarily around centralizing back office tasks and bringing incremental improvements to functions such marketing and IT, Gen AI is now lowering integration costs and accelerating system migrations in ways that reshape the calculus entirely.
From deconstructing tech debt to reinventing customer acquisition and marketing, the trio tackles big questions. Are legacy systems now strategic assets? What does risk management look like in the AI era? And is consulting still defensible when information advantage erodes?
Whether you're a CEO navigating digital transformation or a strategist rethinking your M&A lens, this episode offers a thought-provoking look into the tools, tactics, and mindsets required to lead in the AI-powered future.
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Quotes
“If things are cleaned up and there is less technical debt, then there's going to be opportunities to do things you wouldn’t have done otherwise because it would’ve been too costly.” – Jason Goth
“We’ve always onboarded customers this way, but do we need to anymore? The companies that will win are those questioning what’s possible and willing to rethink.” – Kevin Erickson
“You don’t need a 100% accuracy guarantee. What you need is a reserve model and a willingness to accept some errors because being too risk-averse is costing you money.” – Vincent Yates
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Time Stamps
00:00 Intro
00:55 Centralizing service businesses pre-AI
05:45 Where to consolidate first?
12:30 How does the landscape look now with AI?
20:35 The customer acquisition process is changing
24:45 Removing legacy roadblocks to upgrade systems
30:45 Balancing risk and efficiency
37:55 Reimagining what you thought was possible
41:10 Applying this lens of retooling at the societal level
45:00 Facing the new shift in consulting
49:40 CEOs’ adoption of AI
53:50 Wrapping up
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Links
Connect with the hosts on LinkedIn!
- Vincent Yates
- Jason Goth
- Kevin Erickson
Learn more about Credera
Today on Pure Signal, Vincent, Jason, and Kevin tackle one of the most fundamental questions when looking at today’s technological landscape: What do companies actually believe?
In a wide-ranging conversation that spans from post-war industrial America to the Gen AI frontier, the team explores how implicit belief systems, not mission statements, are truly driving corporate behavior. From Bell Labs and Silicon Valley's shifting ethos to the rise of bold, founder-led companies, the discussion reveals why full neutrality is an impossible hill to stand on.
As generative AI begins to reshape not just how companies operate but what they stand for, this episode offers a timely look at why leadership, taste, and strategic conviction are more critical than ever. Whether you're leading or building an organization, this conversation will challenge how you think about purpose, performance, and the future of AI-led business.
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Quotes
“AI is going to force organizations to define their taste. How they want to sound, look, and operate. You can’t outsource that to a committee. CEOs will have to make bold, unpopular decisions, and that requires a core belief system that doesn’t wobble with the wind.” – Vincent Yates
“I don’t think purpose is just about profits, but I also don’t buy into the idea that stakeholder capitalism alone creates value. The companies that last are the ones that tie employee experience and customer value into a shared mission. That’s where you find real nobility in work.” – Kevin Erickson
“The most successful companies I’ve seen rally around a clear mission. Something bigger than just making money. That sense of purpose drives innovation and attracts people who actually want to build. It’s not about marketing spin; it’s about having something real to stand behind.” – Jason Goth
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Time Stamps
00:00 Intro
01:00 Defining the true beliefs of organizations amidst global turbulence
02:45 Shifting priorities of Silicon Valley companies
06:25 How beliefs create a value prop for employees
08:55 Bell Labs case study11:20 The role of mission-driven innovation in business success
13:10 What companies can learn from a united past
17:15 What gives people purpose?
20:40 Why companies are choosing to stay private
23:55 How are CEOs winning loyalty?
35:30 The importance of defining your company's purpose
36:25 How do you define your company mission?
38:15 How will AI affect company core values?
39:20 The aesthetics of AI
51:10 Where does AI fit in your organization?
52:25 The Corporate AI Mandate
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Links
Connect with the hosts on LinkedIn!
- Vincent Yates
- Jason Goth
- Kevin Erickson
Learn more about Credera
Today on Pure Signal—our first episode since rebranding from Technology Tangents—the team dives into the major shifts reshaping the tech landscape. Vincent, Jason, and Kevin break down everything from crypto M&A and evolving tech policy to rapid AI advancements and the growing crisis in energy infrastructure.
As these forces converge, they explore what it means for businesses facing an increasingly volatile environment—and why adaptability, foundational tech, and clear strategic vision are more essential than ever. With AI’s insatiable demand for power testing infrastructure limits, the need for innovative, future-ready solutions is front and center.
If you’re looking to cut through the noise and stay ahead of what’s really driving tech forward, this episode is your starting point.
Today on Technology Tangents, the team has a very special announcement to share. Starting with our next episode, the show will be updated to Pure Signal, where we will cut through the noise to help you understand what matters in tech. Don’t worry, you won’t have to update anything on your end as a subscriber and you’ll hear more today as Jason, Kevin, and Vincent reflect on the show’s journey.
The big topics for today include recent travels for all three of our hosts as they share their insights from NVIDIA GTC, Adobe Summit, and Kevin’s recent trip to India. As AI continues to dominate all types of industry conversations, it in turn is impacting the conferences of organizations who are leading the charge.
If you want to stay ahead of where enterprise AI is truly going, this episode offers a glimpse into the forces that will shape the next five years of strategy, talent, and technology.
In this episode, Vincent Yates and Jason Goth are joined by Kevin Erickson, Partner at Credera, to explore how generative AI is reshaping advertising and forcing businesses to rethink personalization, revenue models, and accessibility. Is traditional advertising on its way out? How will small businesses compete? And what strategies should leaders adopt to stay ahead? Tune in for a deep dive into the future of digital ads.
In this episode, Vincent Yates and Jason Goth are joined by Kevin Erickson, Partner at Credera, to explore hidden inefficiencies and operational waste within organizations, from AI-driven cost-cutting to modernizing legacy systems. The trio discusses why outdated processes persist, who should be responsible for fixing them, and how to balance cost-cutting with morale and innovation. Tune in for a candid conversation on leadership, efficiency, and smart decision-making.
Super Bowl LIX was a high-tech spectacle, showcasing how technology is reshaping live sports and entertainment.
In this podcast, our hosts discuss the technology advancements displayed in the Super Bowl, from a player perspective, to a fan safety perspective, to, of course, the advertisements. Whether you’re a sports fanatic, a tech enthusiast, or a business leader looking at the future of sports entertainment, this is a chance to appreciate the technology advancements in sports and explore how these innovations can be integrated into your organization's everyday operations.
Learn more about the podcast, or reach out to start a conversation.
Outline:
- 00:00 - Introductions
- 3:45 - Technology news from the Super Bowl
- 9:45 - The push towards 5G
- 13:30 - What changed in broadcasting?
- 15:20 - How much data was processed from the Super Bowl?
- 19:28 - Should we use more AI in sports? Or less?
- 24:48 - What technology are coaches and teams implementing to drive strategy and create safer practices?
- 31:33 - Super Bowl security advancements through technology
- 38:52 - AR at the Super Bowl & fan engagement technology advancements
- 40:25 - T-mobile and Starlink's announcement and the commercials
- 54:00 - Closing thoughts about the advancements of technology in sports
The introduction of DeepSeek-R1 has made waves in the market, challenging OpenAI's model and causing a significant shift in the US market cap, with a trillion dollars vanishing overnight. What exactly is happening, and what do business leaders need to know?
In this episode, we're deep-diving into the new open-source LLM, exploring its strengths and weaknesses, and discussing the potential implications for your business. Join us as we unpack the transformative power of DeepSeek-R1 and what it means for the future of technology and commerce.
Learn more about the podcast, or reach out to start a conversation.
Outline:
- 00:00 - Introductions
- 1:30 - What's going on with DeepSeek?
- 5:39 - The differences in DeepSeek and other models
- 12:04 - How does a no-name company create such a splash?
- 18:50 - If you're a large tech company investing in hardware, what should you do now?
- 31:25 - Is it now cost-effective enough for organizations to build their own models?
- 38:45 - What are the strategic advantages to leveraging an open-source model?
- 41:40 - Are closed-source models still viable?
- 47:54 - The geopolitical implications of these developments
- 55:13 - Is this the end of NVIDIA?
- 58:29 - Biggest takeaway
In 2025, where will technology and innovation take us? Coming off CES 2025, our leaders are discussing several overarching trends in technology and our predictions on how it might shape the business landscape this year.
Key topics include the maturation of AI applications, the rise of open-source AI models and self-hosting, the potential of robotics, quantum computing, cybersecurity, and the implications of evolving technology regulations.
Learn more about the podcast, or reach out to start a conversation.
Outline
- 00:00 - Introductions
- 1:17 - 2025 tech predictions
- 3:38 - AI predictions
- 31:55 - IoT and Edge predictions
- 36:19 - Robotics at CES... how big is the market for robotics?
- 49:15 - Quantum computing predictions
- 51:11 - Cybersecurity predictions
- 56:50 - Policy regulation predictions
- 1:03:12 - Cloud and serverless predictions
- 1:05:38 - Human technology & human-computer interfaces predictions
- 1:08:25 - The future of work and RTO policies
In our latest episode of Technology Tangents, we're discussing evolutions in large language models (LLMs) and what to expect from these models in 2025. Explore the latest capabilities, advancements, and limitations with the various LLMs in the market.
Learn more about the podcast, or reach out to start a conversation.
Outline
- 00:00 - Introduction and greetings
- 00:42 - The announcement about Gemini 2.0—new features & our take on the tool
- 9:57 - Elon Musk's revolutionary LLM, Grok, and what will make models better in 2025 (more computing power or more data?)
- 19:11 - If you're a CIO, is this the time to lean in?
- 25:00 - The era of autonomous agents & "droid speak"
- 34:50 - The evolution of power generation due to AI
- 37:36 - What happens when power becomes really expensive?
After a recent CNBC Technology Executive Council meeting with other technology leaders, Vincent returned with two topics to discuss on the podcast: the recent US election and quantum computing.
The dialogue explores the complexities of data accuracy in polling, the influence of incentives in politics and business, and the potential threats and strategic opportunities posed by advancements in quantum technology.
Learn more about the podcast, or reach out to start a conversation.
The US FDA recently approved an over-the-counter hearing aid software for Apple AirPods, creating huge implications for the healthcare market and AI integration in personal health monitoring.
In today's podcast, we're discussing Apple's unique position in the market and strategy for growing market share, the implications of FDA regulations on tech innovations, and the evolving landscape of data privacy and technology in healthcare.
Learn more about the podcast, or reach out to start a conversation.
In this episode of our Technology Tangents podcast, Vincent Yates and Jason Goth are joined by Kevin Erickson, Partner at Credera. The trio deep dive into the story of SpaceX's Starlink—the origins of this innovative technology, the potential impact Starlink has on the internet industry and society at large, and the lessons all business leaders can learn from Elon Musk's approach to disruption and creativity in technology.
The AI Global Council (AIGC) is an international consortium comprised of leading experts, policymakers, industry leaders, and academics from diverse fields related to AI. Founded with the vision of fostering collaboration and reshaping the responsible development and deployment of AI, the council serves as a collective intelligence hub for addressing the multifaceted aspects of AI adoption.
The AIGC met for their end-of-year session in September 2024 in New York City and discussed relevant topics and trends related to AI. In this podcast, we're recapping the best of the Council's conversations and bringing their insights to you.
Outline:
- 00:00 - Introduction to Technology Tangents
- 01:00 - Insights from the AI Global Council
- 02:27 - Branding in the age of personalization—The potential impacts of hyper-personalization
- 04:53 - Is the cost of AI and generative models too high?
- 11:30 - Echo chambers and political polarization—Will AI make this worse?
- 20:30 - Identifying disruptive AI opportunities
- 33:40 - The implication of AI on the workforce of the future
- 38:28 - Final thoughts and reflections
In this episode of our Technology Tangents podcast, Vincent Yates and Jason Goth are joined by Kevin Erickson, Partner at Credera. The trio share insights gained from the All-In Podcast conference, All-In Summit, particularly focusing on the shifting dynamics in media, the implications of equality of outcome versus equality of opportunity, and the principles of meritocracy in business.
With the 2024 NFL season kicking off this week, we’re exploring the parallels between team building in sports and the business world, with a focus on the strategies and considerations involved in allocating resources (particularly salary).
Will AI leaders be the new quarterback of the business world, meriting the highest salaries? What are the implications of salary caps in professional sports, and what can business leaders learn from that? Should business leaders out-pay for top talent, or take a “moneyball” strategy and spread their resources?
In this episode of Technology Tangents, Vincent Yates, Global Chief Data Officer at Credera Jason Goth, Global Chief Technology Officer, and Kevin Erickson, Partner at Credera discuss winning strategies for building great teams.
We're discussing the current state of the U.S. economy and its impact on macroeconomic trends, particularly in relation to technology. Vincent Yates, Jason Goth, and Kevin Erickson unpack the potential effects of AI investments and government spending on the economy, the importance of risk management and strategic decision-making in navigating these uncertain times, and the need to focus on delivering value through technology and data (rather than simply adopting AI for the sake of it). Listen in to discover insights and recommendations for businesses to thrive in the evolving economic landscape.
Cybersecurity is a growing concern as cyber attacks become more frequent and sophisticated. The cybersecurity market is expected to continue growing at double-digit rates, with estimates up to $16 billion by 2028.
Addressing cybersecurity requires a comprehensive approach that includes threat modeling, implementing controls, and establishing governance policies. However, finding the right balance between security and functionality, as well as allocating sufficient resources, remains a huge challenge for most organizations.
In this episode of Technology Tangents, our conversation explores the latest news and considerations of cybersecurity. We discuss the need to simplify and streamline cybersecurity practices while balancing speed to market and innovation, and the role of governance and regulations in cybersecurity.
The vast majority of enterprise companies have created dozens of GenAI pilots at this point, yet most are struggling to move these into production.
On this week’s episode of Technology Tangents, our leaders are unpacking the challenges of getting AI projects out of “pilot purgatory”, and why that’s still an essential task leaders need to be prioritizing.
We also discuss the need for cultural and operational changes within organizations, the importance of curiosity and white space in a busy work environment, and the role of governance in balancing innovation and risk.
One final theme that comes through on many of our episodes - organizations must adopt AI and innovate to survive in the face of this incredibly disruptive technology.
Junior employees are historically faster than senior leadersto adopt new technologies, but there may be some serious consequences to relying on junior leaders as a source of expertise in the GenAI space.
In our latest episode of Technology Tangents, Vincent Yates, Jason Goth, and Kevin Erickson, three senior leaders at Credera, breakdown a recent paper from Harvard Business School and Boston Consulting Group that highlights the risks and challenges associatedwith the use of generative AI, particularly in the context of junior consultants using these tools. Their discussion highlights the potential for inexperienced users to misunderstand and misuse the technology, leading toinaccurate and unreliable results.
They also touch on the unique nature of generative AI, whichinvolves solving problems in a non-algorithmic way, and ultimately the need for proper training, understanding, and critical thinking when using generative AI.
Show outline:
00:00 – Introductions and greetings
1:48 – The change management required for generative AI: Embracing GenAI in reality
2:39 – The reliance on junior employees to adopt & implement new technologies
8:18 – The biggest risks and hurdles to the technology – in the eyes of junior and more senior employees
22:15 – Concerns and risks with the low barriers to entryof Gen AI
33:48 – “Just change how you work” – the message that’snever worked
39:00 – The importance of systems-level thinking
46:43 – Changing the user interaction of GenAI
In 2024, is there a world outside of AI?
We're taking an ever so slight break from our regular topic of AI to discuss other topics that CIOs should be considering, outside of AI. Vincent Yates, Jason Goth, and Kevin Erickson, three senior leaders at Credera, discuss a wide range of topics related to the evolving landscape of technology and business strategy, including the move back to the edge, how to handle technical debt, and the increasing need to focus on cybersecurity.
Show outline:
- 00:00 – Introductions
- 1:02 – Outside the world of AI - what else should tech leaders be thinking through?
- 2:00 – Moving AI to the edge
- 10:39 – The downsides of building on the edge
- 23:00 – Technologies tangential to edge computing (i.e., WasmEdge)
- 26:38 – Why crypto and blockchain still aren't popular
- 29:26 – Protein folding (AlphaFold) - should it be done with AI?
- 33:56 – "Musings of tired minds"
- 40:15 – The increasing importance of investing in cybersecurity
- 43:20 – Getting a handle on technical debt
- 49:59 – Quick thoughts on employee engagement and retention in 2024
Most business leaders are aware that if AI isn’t incorporated into their businesses, they are at risk of being disrupted and outdated shortly. In light of this, many organizations have built out proof-of-concepts for AI, but now don’t know where to focus or which ideas to take to production.
From building an initial AI strategy to enabling chosen AI initiatives at scale, Credera has helped clients realize measurable results from their AI initiatives. Vincent Yates, Jason Goth, and Kevin Erickson, three senior leaders at Credera, discuss how to build muscle and maximize optionality in the realm of AI, share suggestions for evaluating your organization’s POCs, and provide insights into the considerations and strategies for effectively implementing AI.
Show outline:
- 00:00 – Introductions
- 1:03 – Where to focus AI efforts
- 14:06 – Why the real winners of AI likely won’t be the first disruptors
- 15:25 – “Maintaining optionality” and the necessity to build the innovative muscle
- 17:42 – How to get AI POCs into production
- 22:05 – The backbone of successful AI? Good, reliable, and clean data
- 29:50 – If you’re starting from scratch, how to build your AI strategy and take advantage of third-party products
- 31:27 – The necessity of taking a “build, measure, learn” approach
- 37:00 – The role in corporate development in AI
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We've heard that first-party data will be crucial for marketers with increased regulations and Google's ongoing depreciation of third-party cookies, yet many marketing leaders are still asking the questions, "am I going about this the right way?" or even, "how do I actually get started?"
With this in mind, Vincent Yates, Jason Goth, and Kevin Erickson, three senior leaders at Credera, discuss the benefits of building a first-party data strategy, how to create value that drives data sharing, and tips for building a lucrative first-party data strategy.
Show outline:
- Intro
- 00:45 – Definitions of first-party and third-party cookies and the need to collect first-party data
- 6:30 - How leaders are responding to new regulations (GDPR, CCPA, etc.) and regulatory risk
- 10:15 - When some customers want privacy and some want customized experiences...
- 12:25 - The value of the value-exchange
- 15:00 - Creating a valuable experience that makes users want to share their data
- 25:10 - Technological solutions helping organizations overcome the depreciation of third-party cookies (hint: first-party data collection)
- 29:00 - Rethinking your channel strategy and advertising approach
- 37:04 - The functionality of data clean rooms
- 39:32 - Fingerprinting
- 44:00 - Why leveraging your first-party data is likely your most lucrative approach
"Who should own AI in my organization?" It's a question our AI leaders are getting asked a lot, as organizations sort through how to structure and scale AI adoption at their organizations.
With this in mind, Vincent Yates, Jason Goth, and Kevin Erickson, three senior leaders are Credera, discuss who should own AI in organizations to ensure quick, innovative, and safe adoption.
(Spoiler alert–it's the CEO.)
Show outline:
- Intro
- 00:45 – Who should own AI in an organization?
- 8:22 – How boards should get up to speed on AI success and governance, and why boards need to be more aggressive with AI adoption
- 12:06 – Comparing AI and ecommerce – adopt or get left behind
- 15:40 – The immediate need to create an AI strategy and concrete goals
- 20:11 – No excuses – should CEOs set significant challenges to enforce faster adoption?
- 24:00 – Is creating a Center of Excellence the way to move faster?
- 30:40 – Balancing security risks with opportunity
- 34 – Why AI adoption is ultimately the CEO's job, and a call to move quickly
- 46:30 – The exciting chapter of AI
AI talent is the need of the hour. It's been a mad dash to gobble up whatever talent organizations can find, at very high costs. With such high stakes, how should companies navigate this landscape and ensure ROI on AI talent investments? Vincent Yates, Jason Goth, and Kevin Erickson, three senior leaders are Credera, deep dive into the AI talent wars.
Find out more on Credera.com.
Show outline:
- Intro
- 0:30 – The AI talent gold rush & the Gartner hype cycle
- 5:00 – Building AI technology verses utilizing the technology – what does your organization actually need?
- 11:00 – Is fear the real root of the hype?
- 15:00 – Labor market shifts in the backdrop of the AI hype
- 23:45 – How AI will change capital allocation & the world of VCs and startups
- 29:07 – Is the AI boom unique, or similar to past tech revolutions?
- 31:59 – How will AI-natives change the workforce?
- 36:30 – The societal and economic impacts of the AI revolution
- 39:27 – Practical advice on what should companies do to navigate this landscape
Vincent Yates and Jason Goth are back for their first podcast in 2024 and are deep diving into the trends unveiled at CES. The tech leaders share their thoughts on what trends might stick, what was truly innovative, and what was disappointing about the event.
Vincent Yates and Jason Goth are joined by Kevin Erickson, Partner at Credera. The trio share their perspectives on the imperative of retooling in the face of AI and its significance for organizations across the globe.
Investing in AI is a crucial business decision that can significantly impact a company's future. However, the substantial costs associated and the uncertainty of achieving profitable returns pose significant challenges. How can businesses effectively navigate this risk and make informed investment choices?
In this episode of our Technology Tangents podcast, Vincent Yates and Jason Goth engage in a conversation with Kevin Erickson, Partner at Credera, to delve into the intricacies of AI investment strategies. The discussion focuses on the startup-like nature of AI investments, how organizations should consider such investments, and effective methodologies for developing profitable generative AI business models.
In the latest episode of our Technology Tangents podcast, Vincent Yates and Jason Goth are joined by Kevin Erickson, Partner at Credera. The trio explore the transformative impact of AI on traditional development and testing processes, delving into critical questions that challenge our understanding of how software is built and validated.
In the latest episode of our Technology Tangents podcast, Vincent Yates and Jason Goth are joined by Jake Carter, Chief Innovation Officer at Credera. In their discussion, our leaders explore the latest developments and transformative potential of AI, examining how AI is changing the game and driving innovation to new heights.
As artificial intelligence (AI) continues to advance at an unstoppable pace, business leaders are being forced to think fast and act now.
In this episode of our Technology Tangents podcast, technology experts Vincent Yates and Jason Goth take us on a journey through the intricate realm of AI philosophy and dive into the profound question: can AI diminish the value of human-crafted services and products?
They explore the evolving relationship between artificial intelligence and human ingenuity and explain why savvy business leaders will be thinking three steps forward.
Artificial Intelligence (AI) is continuing to evolve at a remarkable pace, revolutionizing industries and transforming how we live, work, and interact with technology. As it continues to advance and push the boundaries of what was once thought possible, how can CIOs effectively navigate the rapidly evolving AI landscape and harness its potential to drive competitive advantage for their organizations?
In the latest episode of our Technology Tangents podcast, Vincent Yates and Jason Goth shed light on the trials and tribulations faced by CIOs in this fast-paced, AI-driven era. They delve into the good and the bad of AI writing code within organizations and explain why savvy CIOs are taking action now.
Artificial intelligence (AI) is significantly influencing organizational design, introducing new possibilities and reshaping traditional structures. For business leaders, this poses the question: how do you reorganize your company so that you’re getting best of breed without reinventing the wheel from the ground up?
In this episode of our Technology Tangents podcast, Vincent Yates and Jason Goth explore the profound influence of artificial intelligence on the very structure and design of modern organizations and provide practical insights for reorganizing companies in the face of AI.
As businesses continue to embrace digital transformation, the role of artificial intelligence (AI) is becoming increasingly prominent. Amongst its many applications, generative AI has garnered close attention for its potential to revolutionise various industries and unleash the next wave of productivity. But before organisations dive head first into the investment pool, is this new tool really worth the spend?
In this episode, Vincent Yates and Jason Goth team up to discuss the economic and business implications of the latest, greatest thing: Generative AI.
Low-code tools and generative AI are revolutionizing the technology space before our eyes. As business leaders look to innovate and leverage these impressive tools, there's a lot to consider. The right solution will depend on requirements, expected development time, risk, in-house skill set, and of course, budget.
In our latest episode of Technology Tangents, we are joined by Jeremiah Stone, CTO of SnapLogic, and Greg Benson, Chief Scientist at SnapLogic, who are at the forefront of helping leaders think through these important decisions.
When and where should leaders use these tools verses building a system in house? What cautions and risks should they keep in mind? And how do you set up your organization to take advantage of these new technology superpowers?
The group discuss the evolution of what SnapLogic leaders call "higher abstraction tooling" (generative AI, low-code environments, integrated development environments [IDEs], and even platforms like SnapLogic) and share their top recommendations for executives.
The tale of IoT growth breaks out into two categories: IoT growth in the consumer category and IoT growth for the enterprise.
For the consumer, IoT products are truly transforming the way people live in the 21st century. On the enterprise side, the conversation is all about productivity—how can IoT help create new efficiencies? Both categories are driving a tremendous amount of activity, as 2022 spending on IoT was over $1 trillion.
The growth brings many new challenges. Data management, privacy issues, and lifecycle management, to name a few.
In this episode of Technology Tangents, we are joined by special guest Gerald Jackson. Gerald is a Manufacturing/Supply Chain Operations & Technology executive with passion for innovation and 20+ years experience bringing together teams to envision and deliver transformational, large-scale solutions/products to solve complex manufacturing & supply chain problems.
We discuss the current state of IoT, how do address the new challenges associated with the rapid growth, how leaders should rethink the way they run their businesses when compute and data can be anywhere.
As 2022 came to a close, we saw numerous companies that promised to transform an existing business with the power of AI/ML go through major rounds of layoffs and ultimately fail.
The question that deserved to be asked was, "was AI failing?"
Credera leaders discuss why AI technology wasn't the issue, but how many organizations were leveraging it. They share guidance on when organizations should build custom AI or when to buy preexisting third-party solutions, how to monetize data based on differentiated offerings, and discuss other ways organizations can avoid AI failures.
What is your organization optimizing your platform for?
While many organizations optimize for speed or quality, they may be missing a crucial third option: optimizing for the developer experience.
In this episode of Technology Tangents, we are joined by special guest Michael Nygard. Michael is a seasoned technology leader that has worked as a senior technology leader for several global, Fortune 500 companies. He's also the award-winning, best-selling author of “Release It!” and “Release It! Second Edition”.
While the conversation began with a focus on the need to radically simplify environments and the unintended consequences of how we build modern architectures, it shifted to a discussion on the importance of creating a seamless developer experience to drive business value and competitiveness.
The threat landscape continues to drastically expand and evolve. According to the Global Cybersecurity Outlook 2023 report, 93% of cybersecurity experts believe a geopolitical instability is likely to lead to catastrophic cyber attack in the next two years.
Why are we seeing greater cyber attacks now? Who is most at risk? We break down how CIOs and CTOs should think about the current threats and what investments they need to make to protect their organizations and secure their network structures.
Verizon's 2022 Data Breach Investigation Report
With the recent lawsuit against Google, how should organizations react? Jason Goth and Vincent Yates discuss the implications for personalized marketing and the shift to utilizing first party data and the neutral clean rooms. They also continue the conversation on what's different about ChatGPT and share how ChatGPT is similar to boxed cake.
While AI has existed for decades, it's scope and application have greatly expanded in recent years--and it's raising all kinds of new ethical and legal questions across the globe. The creation of AI-generated images and text (like ChatGPT and Galileo AI) is leading to legal issues involving patent and copyright law, and ethical issues that haven't fully been addressed by courts and legislators.
To discuss this thorny issue, we're interviewing Adam Floyd, an intellectual property attorney who has represented clients in all matters of intellectual property including patent, copyright, trademark, and trade secret disputes. Adam has tried and handled cases before Federal district courts in over 20 states, the Federal Circuit, the ITC, PTAB, arbitrators, and mediators for plaintiffs and defendants of all sizes and types.
While the rules vary by country, we're discussing the key legal issues organizations should begin to understand when AI technology is being utilized.
Credera leaders react to the Cobol crisis, discuss what's different about Open AI's ChatGPT tool compared to other conversational AI, and share their two sense about the pros and cons of freelance tech work.
Credera leaders evaluate the technologies unveiled at CES, discuss the challenges to creating innovative ideas and work in 2023, and dabble in several other topics related to the current state of the global economy and how that impacts business leaders.
Credera's Chief Data Scientist and Chief Technology Officer dissect the 2023 tech predictions from leading analyst firms like Gartner, Forrester, and IDC, and share their opinions on the predictions.
- Gartner Tech Predictions
- Forrester Tech Predictions
- IDC IT Industry 2023 Predictions
Not all data strategies are created equally. Some drive real change and transformation, while others gather dust on a shelf or – worse – cause confusion and conflict. But what can you do to ensure yours falls into the first category, and not the second?
There are a few guiding principles to building and implementing a data strategy at an organization. In this podcast, Credera leaders in the U.S. and UK discuss:
- What it is a data strategy
- What should a data strategy include
- How is it different than a corporate or technology strategy
- How to implement the strategy effectively
https://www.credera.com/insights/ten-ways-to-improve-your-data-strategy
Meta is trying to be the biggest player in the new, immersive world of the Metaverse, but will it pay off? With Meta stock dropping 25% in last month, how should business leaders be thinking about the Metaverse? Credera leaders discuss.
Globally, there is deepening concern that we're headed toward a recession, due to high inflation, drastic rate hikes, and the war in Ukraine. How should organizations prepare to not just make it through this likely recession, but come out even stronger on the other side?
Jason Goth, Vincent Yates, and Kevin Erickson discuss the implications of the looming recession for business leaders and how organizations should prepare in times of uncertainty.
Credera is excited to announce the release of our latest podcast: "Technology Tangents: Conversations for Leaders in Tech."
In Technology Tangents: Conversations for Leaders in Tech, Credera's Chief Technology Officer, Jason Goth, and Chief Data Scientist, Vincent Yates, bring leaders together to discuss the modern technologies of today and how organizations should navigate the implications for tomorrow.
In this episode, Vincent and Jason give a quick introduction of themselves and of their third co-host, Kevin Erickson, share what listeners can expect to hear in future episodes, and outline their vision for the show's impact.